We conduct user study on several models to validate the effectiveness of our model from the perspective of human. Specifically, we invite 10 volunteers who are not familiar with image inpainting to judge the quality of inpainted images. On Indoor and Places2, four methods are compared, which including EC [1]}, MST [2]} LaMa [3]} and ours. Given the masked inputs, we randomly shuffle and combine the results of four methods together. Then, volunteers are required to choose the best one from each group. As shown in Fig. REF , our method outperforms other three competitors on both two datasets. Especially, our method can achieve a great advantage compared with the baseline method i.e., LaMa.
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